Face Description with Local Binary Patterns: Application to Face Recognition

Author

Ahonen, Timo ; Hadid, Abdenour ; Pietikainen, Matti

Author_Institution

Dept. of Electr. & Inf. Eng., Oulu Univ.

Volume

28

Issue

12

fYear

2006

Firstpage

2037

Lastpage

2041

Abstract

This paper presents a novel and efficient facial image representation based on local binary pattern (LBP) texture features. The face image is divided into several regions from which the LBP feature distributions are extracted and concatenated into an enhanced feature vector to be used as a face descriptor. The performance of the proposed method is assessed in the face recognition problem under different challenges. Other applications and several extensions are also discussed

Keywords

face recognition; feature extraction; image representation; image texture; component-based face recognition; face description; face image; face misalignment; facial image representation; feature distributions; local binary patterns; texture features; Data mining; Face detection; Face recognition; Feature extraction; Image representation; Image texture analysis; Lighting; Linear discriminant analysis; Principal component analysis; Robustness; Facial image representation; component-based face recognition; face misalignment.; local binary pattern; texture features; Algorithms; Artificial Intelligence; Biometry; Face; Humans; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2006.244

Filename

1717463